Computer-aided molecular and processes design based on quantum chemistry: current status and future prospects

Current Opinion in Chemical Engineering, vol. 27, pp. 89–97

Abstract

Computer-Aided Molecular Design (CAMD) enables the automated exploration of chemical space and thus offers great possibilities for efficient design of chemical products. The key to reliable CAMD is a sound prediction of the properties of desired products, where quantum chemistry-based (quantum chemical, QC) prediction methods offer unique opportunities. In this article, we discuss CAMD methods based on QC and highlight two important fields of application: the design of solvents and of molecular catalysts. Screening of separation solvents based on physical property targets can be regarded as established by now. However, the integration of molecular design and process design remains an important challenge. For the design of reactive systems, transition state theory provides a sound basis. However, efficient CAMD methods and tools based on quantum chemistry are still in their infancy. Recent results and the unexplored opportunities of quantum chemistry make the development of QC-based CAMD methods a promising field of research.

Authors 3

1. Christoph Gertig Aachen Institute of Technical Thermodynamics

   RWTH Aachen University

   Affiliation as printed

   Institute of Technical Thermodynamics, RWTH Aachen University, Aachen, Germany

2. Kai O. Leonhard Aachen Institute of Technical Thermodynamics

   RWTH Aachen University

   Affiliation as printed

   Institute of Technical Thermodynamics, RWTH Aachen University, Aachen, Germany

3. André Bardow corresponding Aachen Institute of Technical Thermodynamics

   RWTH Aachen University · Forschungszentrum Jülich

   Affiliation as printed

   Institute of Energy and Climate Research - Energy Systems Engineering (IEK-10), Forschungszentrum Jülich, Jülich, Germany

   Institute of Technical Thermodynamics, RWTH Aachen University, Aachen, Germany